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Efrat Hexter
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2020 – today
- 2024
- [i1]Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter:
A large dataset curation and benchmark for drug target interaction. CoRR abs/2401.17174 (2024) - 2023
- [j1]Alex Golts, Moshe Raboh, Yoel Shoshan, Sagi Polaczek, Simona Rabinovici-Cohen, Efrat Hexter:
FuseMedML: a framework for accelerated discovery in machine learning based biomedicine. J. Open Source Softw. 8(81): 4943 (2023) - 2021
- [c5]Michal Ozery-Flato, Ora Pinchasov, Miel Dabush-Kasa, Efrat Hexter, Gabriel Chodick, Michal Guindy, Michal Rosen-Zvi:
Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization. AMIA 2021 - [c4]Simona Rabinovici-Cohen, Xosé M. Fernández, Beatriz Grandal Rejo, Efrat Hexter, Oliver Hijano Cubelos, Juha Pajula, Harri Pölönen, Fabien Reyal, Michal Rosen-Zvi:
Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy. AMIA 2021 - [c3]Ibrahim Jubran, Moshiko Raboh, Shaked Perek, David Gruen, Efrat Hexter:
A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms. SASHIMI@MICCAI 2021: 34-43 - [c2]Shaked Perek, Mika Amit, Efrat Hexter:
Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance. PRIME@MICCAI 2021: 117-127 - [c1]Tal Tlusty, Michal Ozery-Flato, Vesna Resende Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazi, Mona Rozin, Michal Rosen-Zvi, Efrat Hexter:
Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms. MLMI@MICCAI 2021: 277-286
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last updated on 2024-04-24 22:52 CEST by the dblp team
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